A Note on Bias of Closed-Form Estimators for the Gamma Distribution Derived From Likelihood Equations

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Data

2019-04-03

Autores

Louzada, Francisco
Ramos, Pedro L.
Ramos, Eduardo [UNESP]

Título da Revista

ISSN da Revista

Título de Volume

Editor

Amer Statistical Assoc

Resumo

We discuss here an alternative approach for decreasing the bias of the closed-form estimators for the gamma distribution recently proposed by Ye and Chen in 2017. We show that, the new estimator has also closed-form expression, is positive, and can be computed for n > 2. Moreover, the corrective approach returns better estimates when compared with the former ones.

Descrição

Palavras-chave

Bias correction, Improve estimators, Two-parameter gamma distribution

Como citar

American Statistician. Alexandria: Amer Statistical Assoc, v. 73, n. 2, p. 195-199, 2019.

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